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                        <b> UniTraj: A Unified Framework for Scalable<br>
                            Vehicle Trajectory Prediction </b>
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        <a href="https://alan-lanfeng.github.io/" target="_blank">Lan Feng</a><sup>1*</sup>,
        <a href="https://mohammadhossein-bahari.github.io/">Mohammadhossein Bahari</a><sup>1*</sup>,&nbsp;
        <a href="https://scholar.google.com/citations?user=X0teZIAAAAAJ&hl=en" target="_blank">Kaouther Messaoud Ben Amor</a><sup>1</sup>,&nbsp;&nbsp;
        <a href="https://scholar.google.fr/citations?user=dOkbUmEAAAAJ&hl=en" target="_blank">Éloi Zablocki</a><sup>2</sup>,<br>&nbsp;&nbsp;
        <a href="https://cord.isir.upmc.fr/" target="_blank">Matthieu Cord</a><sup>2,3</sup>,&nbsp;
        <a href="https://people.epfl.ch/alexandre.alahi?lang=en" target="_blank">Alexandre Alahi</a><sup>1</sup>

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            <sup>1</sup>EPFL,
            <sup>2</sup>Valeo.ai,
            <sup>3</sup>Sorbonne University<br>
            <sup>*</sup>Equal contribution

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            <p style="text-align:center">Accepted to ECCV 2024</p>
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                <a class="bar" href="https://github.com/vita-epfl/UniTraj"><b>Code</b></a> |
                <a class="bar" href="https://arxiv.org/pdf/2403.15098"><b>Paper</b></a>
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                Fig. 1 Overview of UniTraj
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                UniTraj, a comprehensive open-source framework for vehicle trajectory prediction, integrating various datasets, models, and evaluations. It offers a unified platform for comprehensive research in this field.
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@article{feng2024unitraj,
  title={UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction},
  author={Feng, Lan and Bahari, Mohammadhossein and Amor, Kaouther Messaoud Ben and Zablocki, {\'E}loi and Cord, Matthieu and Alahi, Alexandre},
  journal={arXiv preprint arXiv:2403.15098},
  year={2024}
}
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